You will define and evolve test architecture, validation infrastructure, MLOps quality systems, and CI/CD pipelines that enable the Hivemind software ecosystem to create, test, and deploy resilient autonomy capabilities for unmanned aircraft and robotic platforms operating in complex, contested, and GPS-denied environments.

Key responsibilities:

• Own the technical strategy, architecture, and roadmap for automated testing, verification, and MLOps quality across the Hivemind ecosystem.
• Design and maintain scalable test frameworks for autonomy software, backend services, APIs, operator-facing applications, and distributed hardware environments.
• Lead functional, integration, regression, system, performance, reliability, and end-to-end testing across simulation, edge-compute, software-in-the-loop, and hardware-in-the-loop environments.
• Build automated ML validation pipelines covering data quality, training reproducibility, model accuracy, robustness, regression, latency, resource utilization, and system integration.
• Establish CI/CD and continuous training workflows that provide versioning and traceability for datasets, models, configurations, evaluation results, and deployment artifacts.
• Develop scenario-based validation for autonomy models, including edge cases, degraded sensing or communications, distribution shifts, and representative mission conditions.
• Create observability, analytics, and failure-triage capabilities for software behavior, model and data drift, inference health, test results, and production performance.
• Build Python automation that improves test execution, parallelization, reporting, environment setup, experiment comparison, and developer productivity.
• Create test harnesses, simulators, stubs, mocks, and synthetic data capabilities that improve system testability and coverage.
• Collaborate with software, autonomy, machine learning, data, simulation, and systems engineers to define verification strategies and improve designs before implementation.
• Develop and govern AI-assisted engineering workflows using coding agents and LLM-based tools for test generation, log analysis, debugging, and failure triage while maintaining security, reproducibility, and traceability.

Requirements:

• Typically 8+ years of relevant experience in software engineering, test infrastructure, developer tooling, MLOps, systems integration, or systems verification.
• 5+ years of experience building scalable automation frameworks or developer tooling in Python.
• Demonstrated success designing test, CI/CD, or MLOps infrastructure used across multiple engineering teams.
• Experience validating machine learning systems across the data, training, evaluation, packaging, deployment, and monitoring lifecycle.
• Understanding of ML quality risks such as data leakage, training-serving skew, nondeterminism, distribution shift, drift, model regression, and statistical acceptance criteria.
• Experience defining model-performance baselines, automated evaluation suites, release thresholds, and candidate-to-production comparison workflows.
• Experience testing GPU-accelerated infrastructure and workloads, including GPU scheduling, allocation, utilization, and resource contention in Kubernetes environments.
• Experience with performance benchmarking, profiling, and observability for GPU workloads, including identifying compute, memory, storage, networking, and data-loading bottlenecks.
• Experience validating multi-tenant Kubernetes environments, including RBAC, resource quotas, workload isolation, and scheduling behavior.
• Experience qualifying integrated hardware and software systems, including automated validation of compute, GPU, storage, networking, drivers, firmware, and deployed software configurations.
• Strong system-design skills and experience testing distributed systems, backend services, APIs, and integrated hardware and software environments.
• Experience developing integration and regression strategies for internally developed, third-party, open-source, and partner software, including dependency management, compatibility testing, and upgrades.
• Strong understanding of asynchronous and concurrent Python programming for scalable automation and parallel test execution.
• Experience with package and dependency management, reproducible environments, and build systems such as Conan, pip, setuptools, Poetry, Nix, or similar.
• Experience with automated observability, log collection, analytics, reporting, and root-cause analysis in complex software, data, and infrastructure systems.
• Experience working in Linux-based development environments.

Preferred qualifications:

• Experience with model registries, experiment tracking, dataset or feature versioning, model serving, and automated artifact promotion using MLflow, Kubeflow, Weights & Biases, SageMaker, Vertex AI, or similar platforms.
• Experience with GPU scheduling and orchestration platforms such as Run:ai, NVIDIA GPU Operator, KAI Scheduler, Kueue, Volcano, or similar technologies.
• Experience with NVIDIA GPU infrastructure, including CUDA, drivers, container runtimes, Multi-Instance GPU, GPU fractionalization, and hardware/software compatibility testing.
• Experience with GPU profiling and performance-analysis tools such as NVIDIA Nsight, PyTorch Profiler, or similar technologies.
• Experience validating perception, planning, decision-making, reinforcement learning, or other autonomy models in simulation and on deployed systems.
• Experience testing models on embedded or edge-compute platforms, including latency, memory, power, accelerator compatibility, quantization, and hardware-specific behavior.
• Experience qualifying production servers or appliances, including hardware validation, burn-in, provisioning, firmware, networking, storage, and software-stack validation before deployment.
• Experience with reliability, fault-injection, and recovery testing across distributed compute, storage, networking, and GPU infrastructure.
• Experience validating reproducible installation, operation, upgrades, and rollback in cloud, on-premises, disconnected, or air-gapped environments.
• Experience with containers, Kubernetes, cloud infrastructure, infrastructure as code, and reproducible test environments.
• Proficiency with Go or TypeScript for automation tooling or UI test development.
• Experience integrating Python with native C or C++ applications through bindings, wrappers, subprocess interfaces, or similar interoperability tooling.
• Aerospace, robotics, autonomy, embedded systems, or safety-critical software experience.
• Familiarity with software-in-the-loop, hardware-in-the-loop, requirements-based verification, configuration management, artifact traceability, or standards such as DO-178C and MIL-STD-882.

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The successful candidate will become a systems integration expert for autonomous robotics, developing deep expertise in the AI-powered autonomy stack. They will learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.

Key responsibilities include:

• Integrating new capabilities into the autonomy stack
• Enabling platform bring-up and validation
• Configuring sensor drivers, communication interfaces, and platform adapters
• Developing integration tooling and infrastructure
• Supporting cross-platform compatibility
• Analyzing system behavior and root-cause issues
• Optimizing integration workflows and CI/CD
• Validating system requirements and interface contracts

The role requires:

• A minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field
• Proficiency in programming languages such as Python or C++
• Experience with autonomous systems or server applications or middleware
• Demonstrated experience designing integration workflows and triaging integration defects
• Strong expertise with CI/CD pipelines
• Excellent communication skills

Preferred qualifications include:

• Experience building complex systems with a strong understanding of software architecture and design principles
• Expertise with Python
• Experience with ROS
• Familiarity with networking, operating-systems, and radio communications

The salary range for this position is $188,600 - $282,900 per year.

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As a Senior Engineer, Autonomy Software Integration, you will become a power user of the Hivemind SDK, develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases.

Responsibilities:

• Develop deep expertise in the AI-powered autonomy stack
• Integrate new capabilities into the autonomy stack
• Enable platform bring-up and validation
• Develop integration tooling and infrastructure
• Support cross-platform compatibility
• Analyze system behavior and root-cause issues
• Optimize integration workflows and CI/CD
• Validate system requirements and interface contracts

Requirements:

• Bachelor's degree in CS, Comp Eng, Robotics, or a related field
• 3-5 years of related experience
• Proficiency in programming languages including Python or C++
• Experience with autonomous systems or server applications or middleware
• Demonstrated experience designing integration workflows
• Strong problem-solving skills and a proven track record of delivering high-quality software solutions
• Excellent communication skills

Preferred qualifications:

• Demonstrated experience building complex systems
• Experience with hardware or embedded systems
• Expert knowledge of Python
• Experience with ROS
• Experience with white box testing

Benefits:

• Salary: $153,000 - $230,900 a year
• Bonus
• Benefits
• Equity

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The ideal candidate will serve as both a technical leader and people manager, guiding engineers in the development of robust integration and test capabilities while remaining actively engaged in hands-on system integration, validation, and customer-focused workflows.

Key responsibilities:

• Mentor and develop a team of engineers focused on software integration, system validation, and developer experience.
• Establish team priorities, drive execution, and foster a culture of technical excellence, ownership, and continuous improvement.
• Actively contribute to system integration, validation, and debugging activities and develop deep expertise in the autonomy stack.
• Guide the architecture and implementation of integration frameworks, deployment workflows, and configuration management tools.
• Review system logs, telemetry, and rosbag data to diagnose integration defects.
• Lead cross-functional investigations, establish corrective actions, and create tooling that accelerates debugging and issue resolution.
• Ensure integrated capabilities meet product requirements and interface specifications.

Requirements:

• Minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD.
• Proficiency in programming languages including Python or C++.
• Experience with autonomous systems or middleware.
• Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.
• Strong problem-solving skills and a proven track record of delivering high-quality software solutions.
• Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.
• Experience leading software integration engineers and owning integration roadmaps and release schedules.

Preferred qualifications:

• Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.
• Experience with hardware or embedded systems.
• Expert knowledge of Python.
• Experience with ROS.
• Experience with white box testing.
• Familiarity with networking, operating-systems, and radio communications.
• Experience supporting customer applications.

The salary range for this position is $208,000 - $311,000 per year.

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We are looking for someone with genuine theoretical depth and the vision to say where ML-driven antibody design should go next. Your team will develop state-of-the-art antibody property models with the goal of iteratively improving our antibody designs and you’ll own the proof points that demonstrate the impact of these models.

You’ll build agent services to bolster the agility and impact of our teams and work with frontier AI labs to adapt LLMs to new agentic antibody design challenges. As our platform value grows, so does our opportunity to create new and valuable platform partnerships.

You will be accountable for the ML that differentiates our therapeutic programs, and for the modeling capabilities we put in front of data and model partners. At BigHat, we only declare success upon synthesis of real antibodies with drug-like properties that improve patient outcomes.

This is a rare opportunity to run frontier ML within a one-of-a-kind production platform, with an automated high-throughput wet lab generating the data to fuel it.

Key Responsibilities

• ML strategy and vision: Own and continuously sharpen BigHat's machine learning roadmap. Articulate where the field is going and where we intend to lead.
• Deliver best in class therapeutic models: Utilize BigHat’s data repository and data generation capabilities to create multi-objective predictive models to demonstrate a durable, benchmarked, best-in-industry proof that better models accelerate real therapeutics.
• Frontier models joined with best-in-class data: Apply frontier models, utilizingBigHat’s unique datasets and data capabilities, against nature’s hardest protein design challenges.
• Agentic direction: Join forces across the CIO organization to steer our unified LLM and ML approach.
• Program impact: Ensure that models, provenance, and benchmarks flow through our infrastructure without heroics, and that build-test-train design rounds fully leverage model insight for all 2k+ antibodies designed each week.
• Platform as product: Work with business development, partnerships, and executive leadership to translate our data generation and modeling capabilities into offerings that frontier AI companies and biopharma partners can buy.
• Team leadership: Mentor and grow a small, senior team of ML scientists and engineers.
• External leadership: Publish, present, and engage the ML and protein engineering communities.

Skills, Knowledge & Expertise

• Theory and vision: You reason from first principles about why a method should work, design the experiment that would falsify it, and explain the whole thing clearly to a room of interdisciplinary scientists.
• Technical mastery: Deep, current command of modern ML: generative models of protein sequence and structure, Bayesian optimization and active learning, uncertainty quantification, data-efficient predictive modeling/in-context learning, etc.
• Player-coach instinct: You lead by doing as well as by directing.
• Operational excellence: You have shipped ML into production systems and care about reproducibility, provenance, benchmarking, and cycle time as much as about model architecture.
• Biological fluency: Working knowledge of antibody biology, developability, and drug development, or the demonstrated ability and appetite to acquire it quickly.

Benefits

The salary estimated for this position is $250,000 - $365,000 + bonus + options + benefits.

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This leader will ensure that hybrid infrastructure services remain reliable, secure, scalable, and operationally mature as Shield AI grows. Reporting to the Senior Manager of Cloud & Infrastructure, this role partners closely with Cloud Platform, Network, Cybersecurity, Facilities, Service Delivery, Enterprise Technology Solutions, and engineering teams.

Responsibilities:

• Lead, coach, and develop a distributed team of infrastructure engineers and systems administrators.
• Own team capacity, resource planning, hiring priorities, workload balancing, succession planning, and development of technical leaders within the Infrastructure organization.
• Own the Infrastructure strategy, roadmap, standards, operating model, and service portfolio across on-premises, colocation, edge, lab, manufacturing, and hybrid environments.
• Oversee architecture, implementation, and operations for enterprise compute, virtualization, storage, backup, disaster recovery, Windows and Linux server platforms, and core infrastructure services.
• Provide management oversight for the infrastructure supporting Teamcenter and other mission-critical engineering platforms.
• Drive infrastructure modernization, automation, configuration standardization, lifecycle management, observability, and reduction of operational toil and technical debt.
• Establish priorities, project plans, service objectives, capacity forecasts, lifecycle plans, and measurable outcomes aligned with aircraft, engineering, manufacturing, and company growth.
• Ensure infrastructure services meet requirements for availability, performance, security, compliance, recoverability, and operational supportability.
• Provide management oversight for site and data-center infrastructure.
• Partner with Network and Cloud Platform teams on hybrid architecture, connectivity, workload placement, identity integration, and migration of shared services.
• Lead major incidents, root-cause analysis, problem management, change governance, patching and vulnerability remediation, maintenance planning, and on-call readiness.
• Manage hardware, software, licensing, support contracts, managed services, and professional-services vendors.
• Maintain architecture, configuration, recovery, lifecycle, and operational documentation.

Required qualifications:

• 8+ years of progressive experience in enterprise infrastructure or systems engineering.
• Broad experience designing and operating enterprise compute, virtualization, storage, backup, disaster recovery, and Windows and Linux server environments.
• Strong understanding of high availability, capacity planning, performance management, patching, vulnerability remediation, monitoring, and infrastructure lifecycle management.
• Experience supporting data centers, colocation facilities, server rooms, labs, manufacturing environments, or other distributed infrastructure at enterprise scale.
• Experience leading infrastructure modernization, automation, migrations, platform upgrades, and recovery testing with limited business disruption.
• Demonstrated ability to manage production operations, incidents, changes, service health, technical debt, and geographically distributed services.
• Strong partnership skills across Facilities, Network, Cloud, Cybersecurity, Service Delivery, application teams, and business stakeholders.
• Strong people leadership skills, including hiring, coaching, performance management, delegation, and development of senior technical talent.
• Experience managing infrastructure vendors, support agreements, professional services, budgets, forecasts, and lifecycle investment planning.
• Clear written and verbal communication skills.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Preferred qualifications:

• Experience supporting aerospace, defense, manufacturing, engineering, government contracting, or another regulated environment.
• Experience integrating infrastructure following acquisitions, site consolidations, relocations, or rapid organizational growth.
• Experience with VMware, Hyper-V, KVM, NetApp, Cohesity, Active Directory, Entra ID, infrastructure monitoring, and configuration-management tools.
• Experience supporting PLM platforms such as Siemens Teamcenter.
• Knowledge of CMMC, NIST 800-171, ITAR, backup immutability, disaster recovery, and controlled unclassified information environments.
• Experience with infrastructure as code, PowerShell, Python, Bash, Ansible, Terraform, or related automation practices.

Additional Information:

• Salary: USD 160,000-250,000 per-year-salary
• Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity

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You will help develop test frameworks that enable this software ecosystem to create, test, and deploy resilient autonomy capabilities for unmanned aircraft and robotic platforms operating in complex, contested, and GPS-denied environments.

You will work with a robust suite of autonomy and mission software components, including production flight code, simulation and synthetic environment tooling, mission planning and orchestration systems, operator-facing Ground Control Station (GCS) applications, telemetry and data pipelines, and cloud-native developer infrastructure.

In this role, you will help ensure the reliability, scalability, and quality of the Hivemind ecosystem through advanced automation, validation infrastructure, and AI-assisted engineering workflows.

Responsibilities:

• Design, develop, and maintain automated test frameworks for Autonomy and UI applications.
• Develop scalable automated test infrastructure for functional, integration, regression, system, and end-to-end testing across distributed software and hardware environments.
• Create and maintain CI/CD pipelines in GitLab using YAML configurations and shell scripting to support automated build, test, and deployment workflows.
• Build workflow automation tools and utilities in Python to improve test execution efficiency, reporting, environment setup, and developer productivity.
• Develop and maintain UI and API test automation using Go and TypeScript for modern web-based operator interfaces and mission control applications.
• Integrate automated testing into continuous integration environments to support rapid software delivery and high reliability standards.
• Collaborate closely with software, autonomy, simulation, and systems engineering teams to define verification strategies and improve software quality throughout the development lifecycle.
• Develop automated validation solutions for safety-critical and mission-critical aerospace software systems.
• Create test harnesses, simulators, stubs, and mocks to support automated verification in both simulated and hardware-in-the-loop (HIL) environments.
• Analyze test results, troubleshoot failures, and work with development teams to isolate root causes and improve system reliability.
• Improve test coverage, execution speed, maintainability, and observability of automated test systems.
• Contribute to software quality standards, coding best practices, and automation architecture decisions.
• Maintain clear technical documentation for test frameworks, automation workflows, CI/CD infrastructure, and validation procedures.
• Support release qualification activities and ensure traceability between requirements, tests, and verification results where applicable.
• Represent the Integration and Test Role in design reviews and advocate for a culture of engineering excellence and continuous improvement.
• Develop AI-assisted engineering workflows and analytics tools using modern coding agents such as Claude Code, Codex, and related LLM-based development platforms to improve test generation, failure triage, debugging, and developer productivity.
• Design intelligent automation pipelines that leverage AI-assisted code generation, log analysis, test analysis, and workflow orchestration to accelerate software verification and validation processes.
• Evaluate and integrate emerging AI-driven software engineering tools into automated test and CI/CD ecosystems while maintaining reliability, traceability, and engineering quality standards.

Requirements:

• 2+ years of experience building scalable, maintainable automation frameworks and/or developer tooling in Python.
• 2+ years of experience working with package management, dependency management, and build systems using tools such as conan, pip, setuptools, poetry, and nix or similar.
• 2+ years of experience building tooling for automated log collection, analytics, reporting, and failure triage.
• Strong understanding of asynchronous and concurrent programming in Python for scalable automation and parallel test execution.
• Experience developing and maintaining CI/CD pipelines using GitLab CI, YAML, and shell scripting.
• Experience with automated testing of distributed systems, backend services, APIs, and web-based UIs.
• Familiarity with modern test frameworks, automated validation strategies, and software quality methodologies.
• Experience working in Linux-based development environments.
• Strong debugging and problem-solving skills in complex software systems.
• Excellent collaboration and communication skills in cross-functional engineering environments.

Preferred Qualifications:

• Experience integrating Python with native C/C++ libraries and applications using bindings, wrappers, subprocess interfaces, or interoperability tooling.
• Proficiency with Go and/or TypeScript for automation tooling or UI test development.
• Experience with C++ development or testing.
• Aerospace, robotics, autonomy, or safety-critical software experience.
• Familiarity with simulation, hardware-in-the-loop (HIL), or embedded system testing.

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We are looking for a leader with not only the deep technical expertise or the abilities to build a world-class team, but also someone with the strong conviction that AI will protect service members and civilians.

This role is responsible for building and leading a team that researches and designs models, establishes training pipelines and rigorous evaluations, and ensures mission effectiveness at the edge under real-world constraints.

These models must support individual vehicles and coordinated teams of hundreds of agents, while meeting the constraints of operating at the edge in contested environments.

In this role, you'll partner closely with world-class teams in perception, MLOps, large-scale simulation, and inference to deliver capabilities as part of the broader Hivemind Enterprise team.

What success looks like: your team's reasoning models deliver exceptional outcomes for baseline platforms and missions, which can then be rapidly and confidently adapted to new platforms and missions by our solutions engineering organisation.

Responsibilities:

• Build & lead the team that designs, trains, adapts, and evaluates reasoning and cognition models intended for deployment across our unmanned platforms.
• Define the technical roadmap for single-agent and multi-agent models, including architecture choices, training methods, data strategy, and evaluation criteria.
• Make informed tradeoffs among foundation-model approaches (e.g. VLMs, VLAs), specialized deep-learning models, and traditional AI/ML methods.
• Advance model capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information.
• Drive training efforts, including appropriate use of self-supervised learning, imitation learning, reinforcement learning, and distillation.
• Establish rigorous evaluations in simulation and with real-world data. Measure generalization, robustness, uncertainty, and performance as team size and operating conditions change.
• Recruit, develop, and manage a high-performing team of AI/ML engineers.
• Translate edge constraints into model-design and training decisions in partnership with hardware, autonomy, and inference teams.
• Communicate technical tradeoffs and model limitations clearly to research, engineering, product, and organisational leadership.
• Deliver trained models and clear performance evidence to partner teams.
• Create tight feedback loops among model failures, data curation, training experiments, and re-evaluation.

Required qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 8 years with a PhD; or equivalent work experience.
• Exceptional track record of leading the development and deployment of state-of-the-art ML models in production environments, making difficult prioritisation decisions, and communicating tradeoffs across disciplines.
• 5+ years of people management experience leading engineering or applied research teams, with demonstrated success hiring, coaching, developing technical leaders, and managing performance.
• Deep expertise in foundation models, modern deep learning, model architectures, and the training ecosystem.
• Strong command of training and adaptation approaches such as self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation.
• Experience defining datasets, training objectives, experimental workflows, benchmarks, and reproducible criteria for comparing models.
• Fluency in traditional AI/ML techniques and an ability to combine them thoughtfully with learned models.
• Experience with training frameworks such as PyTorch, JAX, TensorFlow, etc.
• Experience with multimodal, embodied, robotic, or autonomous-system models; familiarity with VLA models and world models is particularly relevant.
• Strong familiarity with traditional robotics algorithms, e.g. path planning, probabilistic modeling, optimisation approaches, etc.
• Familiarity with NVIDIA Jetson and other edge compute platforms (e.g. Qualcomm, AMD, etc.)

Preferred qualifications:

• PhD in Computer Science, Electrical Engineering, or similar degree.
• Expertise in optimising and deploying ML models to resource-constrained hardware platforms.
• Experience with simulation-to-real on autonomous systems.
• Experience managing managers or leading multiple engineering teams.
• Experience with unmanned autonomous systems in defense applications
• Familiarity with large, distributed systems
• Familiarity with high-fidelity simulation, e.g. rigid body dynamics, sensor & actuator models, etc.
• Experience managing and interfacing with external partners and vendors

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As part of the Cloud & Infrastructure team within Enterprise Operations, this role will provide senior technical leadership across Active Directory, compute, virtualization, storage, backup and disaster recovery, and core infrastructure services.

The Staff Infrastructure Engineer will remain hands-on while helping define scalable, secure, and resilient infrastructure standards that support Shield AI's continued growth.

Responsibilities:

• Systems Engineering: Serve as a senior technical resource on the Cloud & Infrastructure team, designing and implementing solutions for complex infrastructure requirements and technical challenges.
• Design, deploy, administer, and optimize Active Directory and core identity infrastructure, including domain services, Group Policy, DNS, authentication, replication, and integration with cloud identity services.
• Engineer and operate enterprise compute, virtualization, and storage infrastructure supporting business, engineering, and mission-critical workloads.
• Design, administer, and optimize enterprise storage platforms, including capacity planning, performance, availability, data protection, replication, and lifecycle management.
• Engineer and support compute platforms across data centers, colocation facilities, offices, and hybrid cloud environments, including virtualization, GPU-accelerated infrastructure, VDI, and specialized engineering workloads.
• Engineer and maintain Windows and Linux server infrastructure across data centers.
• Perform capacity planning and infrastructure sizing for new workloads, engineering environments, site expansions, and data center deployments.
• Design, deploy, and maintain data center and colocation infrastructure, including server and storage platforms, rack-level deployments, capacity planning, hardware lifecycle management, resiliency, and coordination with supporting teams and external providers.
• Perform infrastructure capacity planning and sizing for new workloads, engineering environments, site expansions, and data center deployments.

Resiliency, Operations & Automation:

• Design and continuously improve backup, disaster recovery, and infrastructure resiliency, including recovery architecture, replication, recovery objectives, testing, documentation, and execution of disaster recovery exercises.
• Implement monitoring and observability for infrastructure availability, capacity, performance, and reliability; identify and drive improvements before they become operational issues.
• Develop infrastructure automation and repeatable deployment patterns using Terraform, Ansible, PowerShell, Python, Bash, or similar technologies.
• Support integration between on-premises infrastructure and AWS/Azure, including workloads requiring hybrid connectivity or services, and support containerized or Kubernetes-based infrastructure where appropriate.
• Troubleshoot and resolve complex infrastructure incidents and serve as an escalation point for critical production issues.
• Participate in on-call, emergency response, and planned maintenance activities as required.

Technical Leadership & Collaboration:

• Partner with Cybersecurity on infrastructure hardening, vulnerability remediation, access controls, and compliance requirements.
• Partner with Network Engineering on infrastructure connectivity and dependency requirements while maintaining clear ownership boundaries for enterprise network architecture and network devices.
• Lead infrastructure projects and technical initiatives from design through implementation, including architecture, standards, operational documentation, and handoff procedures.
• Mentor engineers and provide technical guidance while remaining hands-on with infrastructure engineering and implementation.
• Develop and maintain infrastructure standards, architecture documentation, operational procedures, and engineering best practices.

Requirements:

• Bachelor's degree in a technical discipline or equivalent practical experience.
• 8+ years of experience engineering and supporting enterprise infrastructure in production environments.
• Advanced experience administering and engineering Microsoft Active Directory, including AD DS, Group Policy, DNS, authentication, and replication.
• Strong experience with enterprise compute, virtualization, and storage platforms, including technologies such as VMware, Hyper-V, KVM, NetApp, Pure Storage, Dell EMC, or equivalent.
• Strong Windows Server administration experience and working proficiency with Linux systems such as RHEL or Ubuntu.
• Experience designing and implementing backup, replication, disaster recovery, and business continuity solutions, including RTO/RPO planning and testing.
• Experience with infrastructure automation and configuration management using tools such as Terraform, Ansible, PowerShell, Python, Bash, or similar technologies.
• Experience supporting hybrid infrastructure across on-premises environments and AWS and/or Azure.
• Demonstrated ability to lead complex technical initiatives, establish engineering standards, troubleshoot ambiguous problems, and mentor other engineers.
• Effective written and verbal communication skills, including the ability to communicate technical concepts to technical and non-technical audiences.

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Help shape the future of physical AI in defense by building reasoning models for unmanned autonomous systems across aerial, maritime, land, and space domains. We're looking for a deeply technical engineer who can turn emerging research into reliable autonomous capabilities and shares our conviction that AI can protect service members and civilians.

As a Staff Engineer on the Hivemind Reasoning team, you'll drive the design, training, adaptation, and evaluation of reasoning and cognition models intended for deployment on unmanned platforms. You'll take hands-on ownership of complex technical problems, from defining model architectures and training objectives to establishing rigorous evidence of mission effectiveness.

Your work will support individual vehicles and coordinated teams of hundreds of agents, while accounting for limited compute, intermittent communications, incomplete information, and other constraints of operating at the edge in contested environments.

You'll partner closely with teams in perception, MLOps, large-scale simulation, autonomy, and inference to deliver capabilities as part of Hivemind Enterprise.

Responsibilities:

• Design, implement, train, adapt, and evaluate reasoning and cognition models for unmanned autonomous platforms.
• Make and validate tradeoffs among foundation-model approaches, including vision-language models (VLMs) and vision-language-action models (VLAs), specialized deep-learning models, and traditional AI/ML methods.
• Develop capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information.
• Build reproducible training and adaptation workflows using appropriate combinations of self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation.
• Define data requirements, training objectives, benchmarks, and evaluation methods that support meaningful comparisons among model approaches.
• Establish rigorous evaluations in simulation and with real-world data, measuring generalization, robustness, uncertainty, and performance as team size and operating conditions change.
• Incorporate edge constraints into model architecture and training decisions in partnership with hardware, autonomy, and inference teams.
• Diagnose model failures and create feedback loops among data curation, training experiments, and re-evaluation.
• Deliver trained models, reproducible results, and clear performance evidence to partner teams.
• Communicate technical tradeoffs, experimental findings, and model limitations clearly to research, engineering, product, and organizational leadership.

Required qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.
• A demonstrated track record of developing and deploying advanced ML models in production environments, with substantial hands-on contributions to model design, training, and evaluation.
• Deep expertise in foundation models, modern deep learning, model architectures, and the training ecosystem.
• Strong command of training and adaptation approaches such as self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation.
• Experience defining datasets, training objectives, experimental workflows, benchmarks, and reproducible criteria for comparing models.
• Fluency in traditional AI/ML techniques and an ability to combine them thoughtfully with learned models.
• Experience with training frameworks such as PyTorch, JAX, TensorFlow, etc.
• Experience with multimodal, embodied, robotic, or autonomous-system models; familiarity with VLA models and world models is particularly relevant.
• Familiarity with traditional robotics algorithms, e.g. path planning, probabilistic modeling, optimization approaches, etc.
• Familiarity with NVIDIA Jetson and other edge compute platforms (e.g. Qualcomm, AMD, etc.).

Preferred qualifications:

• MS or PhD in Computer Science, Electrical Engineering, or similar degree.
• Expertise in optimising and deploying ML models to resource-constrained hardware platforms.
• Experience with simulation-to-real on autonomous systems.
• Experience with unmanned autonomous systems in defense applications.
• Familiarity with large, distributed systems.
• Familiarity with high-fidelity simulation, e.g. rigid body dynamics, sensor & actuator models, etc.

Benefits:

• Pay within range listed + Bonus + Benefits + Equity
• Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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As an Applied Scientist - PhD Intern, you’ll be part of a community of curious scientists and engineers building foundational and applied ML methods at a scale of millions of daily active users and billions of daily AI requests.

During your 12 or 16-week internship in the Winter, Summer, or Fall, you’ll own a high-impact project from ideation and experimentation to production and publication.

Responsibilities

• Prototype, experiment with, and deploy advanced AI, machine learning, and 3D technologies to solve real-world challenges at scale.
• Translate cutting-edge research into production-ready features alongside cross-functional engineering and product teams.
• Develop, deliver, and optimize solutions that measurably enhance user experience, safety, and creativity on the platform.

Requirements

• Pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.
• Deep expertise in a relevant technical domain, including deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
• Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) with experience building and optimizing large-scale systems.
• A strong research track record, evidenced by multiple publications and presentations in highly regarded peer-reviewed venues.

Benefits

• Hourly pay range: $72,$72 USD

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At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency.

Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment.

Responsibilities

• Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale.
• Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges.
• Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems.
• Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users.
• Work backward from user and product needs to architecture, and deliver ML solutions that improve platform engagement, safety, and content ecosystem growth.

Requirements

• Possess or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.
• Deep expertise and curiosity in a relevant technical domain, such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
• Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.
• A strong research track record, evidenced by multiple publications and presentations in rigorous peer-reviewed venues.

Benefits

• Annual Salary Range: $196,750,$243,290 USD
• Equity compensation
• Benefits as described on Roblox's benefits page

Work Schedule

• Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

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At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning.

You Will:

• Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations.
• Conduct in-depth research to address complex data-related challenges.
• Work on projects that have a real impact on our products, services, and business strategy.
• Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers.
• Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

• Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science.
• At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
• Proficiency in one or more programming languages (e.g., SQL, Python or R).
• Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
• Passion for applying scientific rigor to advance dynamic consumer products.
• Experience in developing production solutions is a plus.
• Experience with ML modeling is a plus.

The starting base pay for this position is $66,$66 USD per hour.

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This part-time contract role will assist with the routine hands-on tasks within the BigHat space, keep lab spaces clean and well-stocked, and work alongside the BigHat lab team to ensure everyone has what they need.

The role is planned for 10-16 hours per week across 2-3 days, with the exact schedule to be discussed.

Key Responsibilities

• Perform routine maintenance on common laboratory equipment.
• Ensure sufficient stock of washed and autoclaved glassware.
• Perform sterilization and sanitization of equipment.
• Restock commonly used materials in the various BigHat lab spaces.
• Prepare common lab materials, such as pre-labelled plates.
• Support lab staff with basic requests.
• Maintain the cleanliness, safety, and organization of the lab and storage spaces.

Skills, Knowledge & Expertise

• Interest in learning about biology, chemistry, or the biotech field.
• Self-motivated individual with attention to detail, excited to work in a dynamic start-up environment.
• Experience in a laboratory environment or lab operations is a plus.
• Experience with Google Suite, with a focus on Google Sheets.

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Responsibilities

• Own audience growth analysis across Shield AI's first-party social channels, including LinkedIn, X, Instagram, and YouTube.
• Analyze third-party audience and community behavior across platforms such as Reddit, YouTube, and relevant industry forums.
• Build audience segmentation frameworks to better understand priority personas, content interests, channel behaviors, and acquisition opportunities.
• Partner with Social and Communications teams to inform organic content strategy with performance insights and audience intelligence.
• Manage paid-growth levers and budget to accelerate audience acquisition, engagement, and channel-level performance.
• Track and report on audience growth, engagement, conversion, and retention metrics across channels.
• Identify high-potential communities, creators, conversations, and distribution opportunities relevant to Shield AI's mission and products.
• Develop dashboards, reports, and recommendations that translate data into clear growth actions for Marketing and Communications stakeholders.
• Support testing across creative, copy, targeting, channels, and content formats to improve reach and engagement.
• Monitor platform trends, algorithm changes, and audience behavior shifts to inform channel strategy.

Requirements

• 3+ years of experience in growth marketing, digital marketing analytics, audience development, social analytics, or a related field.
• Experience analyzing performance across social platforms such as LinkedIn, X, Instagram, YouTube, Reddit, or similar communities.
• Familiarity with AI-enabled analytics, content optimization, or marketing workflow tools.
• Strong analytical skills with the ability to translate data into actionable recommendations.
• Experience managing or supporting paid social, paid audience growth, or digital acquisition campaigns.
• Proficiency with analytics, reporting, and dashboarding tools.
• Strong understanding of audience segmentation, channel performance, testing, and growth metrics.
• Excellent communication skills with the ability to present insights clearly to cross-functional stakeholders.
• Strong cross-functional collaborator with the ability to partner effectively with Social, Communications, Creative, and Marketing teams.

Preferred Qualifications

• Experience in aerospace, defense, national security, advanced technology, or B2B technology.
• Experience with social listening, community intelligence, or creator/influencer analysis tools.
• Experience building executive-ready dashboards or recurring performance reporting systems.

Additional Information

• Salary: USD 120,000-180,000 per-year-salary
• Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
• Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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This role will work closely with Marketing leadership and cross-functional partners to define how marketing data is structured, reported, and used to inform decisions. The ideal candidate combines a strategic mind with hands-on technical fluency.

Responsibilities

• Own the definition of marketing data and reporting requirements. Partner with stakeholders across Marketing and cross-functional teams to translate business questions into clear data specifications, schemas, and reporting structures
• Design how marketing data is structured, stored, and governed, partnering closely with MarTech, data engineering, and contractors to ensure infrastructure and pipeline decisions map back to business requirements
• Bring enough technical fluency (SQL, data modeling, ETL concepts) to review technical designs, troubleshoot issues, and be a credible partner to the engineers and vendors building the infrastructure
• Own the design and maintenance of centralized reporting and dashboards across the marketing funnel, ensuring a consistent, single source of truth for leadership
• Lead cross-functional performance analyses at the CMO level, synthesizing data across channels and functions into a clear view of what happened, why, and what to do next
• Prepare executive updates, business reviews, and strategic storylines for Marketing leadership and the C-suite, translating complex data into clear, action-oriented narratives
• Partner with Marketing leadership on annual and quarterly operating plans, defining metrics and targets and tracking progress against goals
• Proactively identify opportunities to improve data quality, instrumentation, and operational efficiency across marketing programs

Required qualifications

• 5-8 years of experience in marketing analytics, marketing operations, strategy consulting, or a similar role, with a track record spanning both strategic analysis and data/schema ownership
• Demonstrated experience defining data and reporting requirements with stakeholders and designing how that data should be structured and stored
• Hands-on technical fluency, including SQL, data modeling, and enough understanding of ETL and data pipeline concepts to partner effectively with engineers and MarTech on build decisions
• Experience owning executive-level, cross-functional performance analysis, synthesizing data across channels into a strategic narrative for senior leadership
• Strong storytelling and executive communication skills, with the ability to translate complex data into clear, C-suite-ready narratives
• Experience with analytics tools such as Google BigQuery, Google Analytics, Marketo, Looker Studio / Tableau, and Salesforce
• Strong project management skills, with a demonstrated ability to drive cross-functional initiatives from planning through execution
• Highly proactive and self-starting, able to operate with a high degree of ownership and autonomy

Preferred qualifications

• Direct experience building or maintaining ETL pipelines, data models, or analytics infrastructure
• Familiarity with marketing funnel measurement and attribution models
• Fluent in AI/automation tools to improve analytics, reporting, or marketing workflows

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The role involves owning the full accounting function, from close and financial reporting to technical accounting, equity, tax, and compliance. You will design and improve systems, controls, and processes required for a future public-company operating environment.

Key responsibilities include:

• Serving as BigHat's in-house technical accounting authority; researching and preparing position memos on complex transactions, new GAAP pronouncements, and company-specific accounting policy decisions.
• Executing general ledger operations and leading the financial close process.
• Driving R&D accounting across CRO and vendor accruals, prepaids, and program-level cost tracking.
• Building and delivering financial reporting packages and board-level management decks.
• Designing, implementing, and maintaining a SOX compliance internal control framework.
• Leading audit readiness and driving clean, timely delivery of annual financial statement audits.
• Managing federal, state, and local tax compliance in coordination with external advisors.
• Evaluating and implementing AI-enabled tools and finance technology.
• Owning payroll administration and equity accounting and plan administration under ASC 718.
• Owning NetSuite ERP implementation including processes and controls.

The ideal candidate has a background in accounting from a high-growth biotech, pharma, or life sciences company, hands-on NetSuite implementation or migration experience, and technical expertise to research complex GAAP positions.

Benefits

The salary estimated for this position is $240,000 - $301,000 + bonus + options + benefits.

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Responsibilities

Network Engineering

• Experience with public cloud networking in Azure and AWS, including secure connectivity models such as ExpressRoute, Transit Gateway, and Cloud WAN / vWAN.
• Design, architect, and implement routing, switching, WLAN, and firewall infrastructure across data centers and remote offices.
• Deploy and manage WAN and VPN connectivity, ensuring secure and reliable access for enterprise and mission environments.
• Develop and apply network automation to streamline provisioning, monitoring, and configuration management.
• Collaborate with Cloud, Platform, Security, and Infrastructure engineering teams to develop standardized network architectures supporting self-service platforms and engineering automation.
• Recommend and implement scalable, automated approaches to operational tasks and vulnerability remediation.
• Contribute to Agile delivery cycles and engineering principles while managing assigned network projects and deliverables.
• Conduct network capacity planning and provide recommendations for growth and optimization.

Operations and Support

• Plan and execute network and firewall changes in accordance with change-management and security governance processes.
• Continuously monitor, analyze, and improve network performance, resiliency, and security posture.
• Provide advanced troubleshooting for network-related hardware, software, and application issues.
• Configure and maintain secure connectivity services such as VPN/ZTNA, HTTPS, and SFTP.
• Create and maintain clear operational and configuration documentation; mentor operational teams on processes and procedures.
• Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations.
• Participate in on-call rotation and scheduled maintenance activities.

Maintenance

• Lead or assist with network upgrades and patching within defined maintenance windows.
• Maintain network device software and license compliance.
• Ensure security vulnerabilities are identified and remediated in coordination with IT security teams.

Requirements

• 6+ years of experience supporting and administering complex network systems in production environments.
• Expertise in network routing, switching, and security architectures.
• Proficiency in at least one Network Operating System (e.g., NX-OS, JunOS, Arista EOS).
• Proficiency in at least one Network Security OS (e.g., PAN-OS, FortiOS).
• Experience with network automation and infrastructure-as-code practices (e.g., Terraform, Ansible, Python).
• Strong understanding of firewall management, segmentation, and VPN technologies.
• Excellent analytical, organizational, and troubleshooting skills.
• Effective written and verbal communication across technical and non-technical audiences.
• Proven ability to work independently and deliver in a structured, process-driven environment.
• Bachelor's degree in a technical discipline or 6+ years of relevant experience with a professional certification (e.g., CCNP, JNCIS, VCP-NV, or equivalent).
• Experience building and managing scalable hybrid infrastructure connectivity solutions linking on-premises systems with cloud networks.

Preferred Qualifications

• Familiarity with Juniper and Palo Alto network solutions and centralized management platform (Panorama preferred).
• Familiarity with WLAN technologies and wireless authentication (e.g., 802.1x, RADIUS).
• Experience with NAC solutions and network access policy enforcement.
• Experience with ZTNA / SASE solutions (Prisma, Zscaler, or Cato).
• Working knowledge of virtualization or operating system administration (VMware, Windows, or Linux).
• Demonstrated project management and leadership skills.
• Team-oriented, collaborative mindset with the ability to coach peers and present to non-technical stakeholders.
• Solution-driven, adaptable approach in a fast-paced, change-controlled environment.

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The successful candidate will be a hands-on leader who can steer creative direction, build scalable systems, and ensure seamless workflow from brief to delivery without sacrificing craft.

Key responsibilities include:

• Steering, reviewing, and approving creative work across design, copy, and video
• Building and refining scalable creative workflows, processes, and systems
• Managing incoming briefs, setting priorities, and balancing workloads
• Mentoring and developing team members through continuous feedback and coaching
• Collaborating with cross-functional partners to ensure strategic alignment and on-brand work
• Championing a team culture rooted in diversity, inclusion, and mutual respect

Requirements:

• 12+ years of experience in creative roles with 3-5 years in a leadership position
• Proven experience managing multidisciplinary teams
• Deep understanding of design, copywriting, and video editing
• Experience building and scaling creative workflows and operational systems
• Strong stakeholder management and communication skills
• Fluency in creative tools such as Figma, Adobe Creative Suite, Google Slides, and Keynote
• Obsession with craft and attention to detail
• Thoughtful, resilient mindset with ability to operate in ambiguity
• Self-starter mentality with ability to own domain end-to-end

Salary range: $230,660 - $269,570 USD per year

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In this business role, you will develop deep relationships with key accounting and finance stakeholders and build a thorough understanding of the Record to Report process and the systems that support it. You will own and drive standardization so our operations teams can scale and achieve process excellence.

A critical near-term mandate is serving as the Record to Report Business Lead for Shield AI's Oracle Fusion Cloud ERP implementation , acting as the bridge between Finance and IT to ensure business requirements are accurately translated into system design, that milestones are met on time and on budget, and that end users are set up for lasting success.

Responsibilities include:

• Define and document business processes, data maps, and requirements; consult with end users on functionality and solutions; specify system designs, data flows, workflows, and logical processes to meet organizational objectives.
• Perform Oracle Fusion Cloud application configuration and management, project coordination, and identification/evaluation/review of innovative technologies for potential solutions, along with data extraction and analysis.
• Provide first-level support by responding to inquiries from end users and/or technical staff regarding application, system, and reporting issues; train end users and/or technical support staff on Oracle Fusion Cloud and related applications.
• Identify, troubleshoot, solve, communicate, and manage systems problems under time constraints with minimal supervision.
• Work closely and collaboratively with the Accounting business groups (O2C, R2R, P2P) to solve business problems related to Finance systems and processes.
• Work with third-party vendors to understand and resolve open system or process-related issues.
• Support development of master and transactional data using existing relevant analytical reporting tools, including Oracle Transactional Business Intelligence (OTBI) and BI Publisher.
• Work closely with Project Management and leadership on Finance projects to deliver new capabilities to Finance users.
• Support business applications utilized across all Record to Report processes.

ERP Implementation (Primary Mandate)

• Act as Business Lead for the full Record to Report end-to-end implementation , from requirements gathering and process design through system configuration, UAT, data migration, cutover, go-live, and hypercare, working closely with the Systems Integration vendor throughout.
• Lead cross-functional workshops to document current-state Finance processes for Record to Report and define future-state workflows within Oracle Fusion Cloud; translate outputs into functional specifications for configuration and integration, including General Ledger, Subledger Accounting, Fixed Assets, Cash Management, Intercompany, Allocations, Account Reconciliation Cloud (ARCS), Financial Consolidation and Close (FCCS), Enterprise Data Management (EDMCS), Financial Reporting Studio and Oracle transactional Business Intelligence (OTBI) Cloud design decisions.
• Oversee data migration strategy, execution, and validation for all financial master data, including supplier records, open balances, and historical transaction data, in alignment with Oracle Fusion Cloud data conversion standards.
• Work closely with the ERP implementation partner day-to-day , holding the system integrator and other vendors accountable to scope, quality, and delivery timelines against the Oracle Cloud implementation methodology; escalate risks and issues to the steering committee as needed.
• Lead functional-level status reporting on milestones and risks; manage cross-functional interdependencies across other Finance and Accounting mega-processes (Record to Report, Order to Cash, Month-End Close, etc.) throughout the project lifecycle.
• Work closely with business and project leadership to execute a change management and training plan that drives user readiness and adoption on the new Oracle Fusion Cloud environment; build a network of RTR super users and process champions to sustain the system post-go-live.
• Drive post-implementation activities for RTR, including hypercare support, ongoing enhancement prioritization, quarterly Oracle Cloud update readiness, and handoff procedures from the implementation partner to internal teams.
• Evaluate Oracle quarterly release features, assess business impact, coordinate regression testing and lead adoption of new capabilities.
• Partner with Internal Audit and IT Security to ensure Oracle cloud configurations comply with SOX, segregation-of-duties, audit, and regulatory requirements.

Ongoing Finance Systems & Strategy

• Serve as the strategic owner for all Record to Report processes and systems , working closely with IT to support Oracle Fusion Cloud system architecture, integration health (including Oracle Integration Cloud, or OIC, interfaces), and a forward-looking technology roadmap aligned to Shield AI's business priorities.
• Partner with Finance leaders and IT to perform gap assessments, formulate investment proposals for future projects and enhancements, and develop multi-year capability roadmaps that balance resources and corporate objectives.
• Identify and implement process automation and standardization opportunities across the Finance ecosystem , including Oracle Fusion Cloud automation, workflow, and reporting capabilities , while maintaining audit readiness and knowledge continuity through documentation and cross-training.
• Lead ongoing process optimization using Oracle Cloud quarterly releases, workflow automations, AI-assisted features, and business process redesign.

Required qualifications:

• BA/BS degree or equivalent practical experience.
• 8+ years of experience with large ERP systems is required.
• 3-5 years of experience with Oracle Fusion Cloud applications, with hands-on experience in Fusion General Ledger, Subledger Accounting, Fixed Assets, Cash Management, Intercompany, Allocations, ARCS, FCCS, EDMCS, Financial Reporting Studio, OTBI, and BI Publisher modules is required.
• 10+ years of experience working with financial applications, including working with vendors and internal customers to resolve and respond to financial system issues and inquiries.
• Full lifecycle Oracle Cloud implementation experience leading Record to Report business process.
• Proven track record of managing projects within budget and timeline; PMP certification is a plus.
• Experience across multiple Finance functional areas (e.g., accounting, record-to-report, business intelligence, HR/payroll, procure-to-pay, order-to-cash).
• Experience working with systems that handle sensitive data, including SOX controls and change management processes; familiarity with a DCAA/FAR-DFARS-compliant or CMMC-aligned control environment is a plus.
• Ability to own and maintain user access controls to support periodic audits and process changes.
• Excellent interpersonal and communication skills, strong analytical skills, and the ability to manage ambiguity in a rapidly changing business environment.
• Ability to prioritize and manage projects with minimal supervision.
• Ability to develop business cases and cost/benefit analyses for management evaluation.
• Ability to oversee security policies and procedures to ensure compliance, including Oracle Fusion Cloud role-based security and segregation-of-duties controls.
• Ability to drive projects to completion, testing, and acceptance of project results.
• Relevant work experience with ERP boundary systems, Concur, Avalara, Coupa, Floqast, and other financial systems preferred; Oracle Cloud ecosystem experience (e.g., Oracle Integration Cloud) is a plus.
• Ability to provide on-call and after-hours support for key projects to support critical deadlines.

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In this business role, you will develop deep relationships with key accounting and finance stakeholders and build a thorough understanding of the Procure to Pay process and the systems that support it. You will own and drive standardization so our operations teams can scale and achieve process excellence.

A critical near-term mandate is serving as the Procure to Pay Business Lead for Shield AI's Oracle Fusion Cloud ERP implementation , acting as the bridge between Finance and IT to ensure business requirements are accurately translated into system design, that milestones are met on time and on budget, and that end users are set up for lasting success.

Success will require close partnership with Finance and Accounting leaders and teams, the CIO organization, and external implementation partners to align systems and practices with Shield AI's overall business strategy. You will own scalability, functionality, and ease of execution across all Procure to Pay processes, with the Oracle Fusion Cloud ERP implementation as the cornerstone initiative.

Responsibilities include:

• Define and document business processes, data maps, and requirements; consult with end users on functionality and solutions; specify system designs, data flows, workflows, and logical processes to meet organizational objectives.
• Perform Oracle Fusion Cloud application configuration and management, project coordination, and identification/evaluation/review of innovative technologies for potential solutions, along with data extraction and analysis.
• Provide first-level support by responding to inquiries from end users and/or technical staff regarding application, system, and reporting issues; train end users and/or technical support staff on Oracle Fusion Cloud and related applications.
• Identify, troubleshoot, solve, communicate, and manage systems problems under time constraints with minimal supervision.
• Work closely and collaboratively with the Accounting business groups (O2C, R2R, P2P) to solve business problems related to Finance systems and processes.
• Work with third-party vendors to understand and resolve open system or process-related issues.
• Support development of master and transactional data using existing relevant analytical reporting tools, including Oracle Transactional Business Intelligence (OTBI) and BI Publisher.
• Work closely with Project Management and leadership on Finance projects to deliver new capabilities to Finance users.
• Support business applications utilized across all Procure to Pay processes.

Required qualifications:

• BA/BS degree or equivalent practical experience.
• 8+ years of experience with large ERP systems is required.
• 3-5 years of experience with Oracle Fusion Cloud applications, with exposure to Oracle Transactional Business Intelligence (OTBI) and BI Publisher for report development; hands-on experience with Fusion Purchasing, Accounts payable, Expenses, Cash management and Supplier management modules is required.
• 10+ years of experience working with financial applications, including working with vendors and internal customers to resolve and respond to financial system issues and inquiries.
• Full lifecycle Oracle Cloud implementation experience leading Procure to pay business process.
• Proven track record of managing projects within budget and timeline; PMP certification is a plus.
• Experience across multiple Finance functional areas (e.g., accounting, record-to-report, business intelligence, HR/payroll, procure-to-pay, order-to-cash).
• Experience working with systems that handle sensitive data, including SOX controls and change management processes; familiarity with a DCAA/FAR-DFARS-compliant or CMMC-aligned control environment is a plus.
• Ability to own and maintain user access controls to support periodic audits and process changes.
• Excellent interpersonal and communication skills, strong analytical skills, and the ability to manage ambiguity in a rapidly changing business environment.
• Ability to prioritize and manage projects with minimal supervision.
• Ability to develop business cases and cost/benefit analyses for management evaluation.
• Ability to oversee security policies and procedures to ensure compliance, including Oracle Fusion Cloud role-based security and segregation-of-duties controls.
• Ability to drive projects to completion, testing, and acceptance of project results.
• Relevant work experience with ERP boundary systems, Concur, Avalara, Coupa, Floqast, and other financial systems preferred; Oracle Cloud ecosystem experience (e.g., Oracle Integration Cloud) is a plus.
• Ability to provide on-call and after-hours support for key projects to support critical deadlines.

XML job scraping automation by YubHub

In this business role, you will develop deep relationships with key accounting and finance stakeholders and build a thorough understanding of the Order to Cash process and the systems that support it. You will own and drive standardization so our operations teams can scale and achieve process excellence.

A critical near-term mandate is serving as the Order to Cash Business Lead for Shield AI's Oracle Fusion Cloud ERP implementation , acting as the bridge between Finance and IT to ensure business requirements are accurately translated into system design, that milestones are met on time and on budget, and that end users are set up for lasting success.

Success will require close partnership with Finance and Accounting leaders and teams, the CIO organization, and external implementation partners to align systems and practices with Shield AI's overall business strategy. You will own scalability, functionality, and ease of execution across all Order to Cash processes, with the Oracle Fusion Cloud ERP implementation as the cornerstone initiative.

Responsibilities include:

• Define and document business processes, data maps, and requirements; consult with end users on functionality and solutions; specify system designs, data flows, workflows, and logical processes to meet organizational objectives.
• Perform Oracle Fusion Cloud application configuration and management, project coordination, and identification/evaluation/review of innovative technologies for potential solutions, along with data extraction and analysis.
• Provide first-level support by responding to inquiries from end users and/or technical staff regarding application, system, and reporting issues; train end users and/or technical support staff on Oracle Fusion Cloud and related applications.
• Identify, troubleshoot, solve, communicate, and manage systems problems under time constraints with minimal supervision.
• Work closely and collaboratively with the Accounting business groups (O2C, R2R, P2P) to solve business problems related to Finance systems and processes.
• Work with third-party vendors to understand and resolve open system or process-related issues.
• Support development of master and transactional data using existing relevant analytical reporting tools, including Oracle Transactional Business Intelligence (OTBI) and BI Publisher.
• Work closely with Project Management and leadership on Finance projects to deliver new capabilities to Finance users.
• Support business applications utilized across all Order to Cash processes.

Required qualifications:

• BA/BS degree or equivalent practical experience.
• 8+ years of experience with large ERP systems is required.
• 3-5 years of experience with Oracle Fusion Cloud applications, with exposure to Oracle Transactional Business Intelligence (OTBI) and BI Publisher for report development; hands-on experience with Fusion Receivables, Collections, or Order Management modules is required.
• 10+ years of experience working with financial applications, including working with vendors and internal customers to resolve and respond to financial system issues and inquiries.
• Full lifecycle Oracle Cloud implementation experience leading Order-to-Cash business process.
• Proven track record of managing projects within budget and timeline; PMP certification is a plus.
• Experience across multiple Finance functional areas (e.g., accounting, record-to-report, business intelligence, HR/payroll, procure-to-pay, order-to-cash).
• Experience working with systems that handle sensitive data, including SOX controls and change management processes; familiarity with a DCAA/FAR-DFARS-compliant or CMMC-aligned control environment is a plus.
• Ability to own and maintain user access controls to support periodic audits and process changes.
• Excellent interpersonal and communication skills, strong analytical skills, and the ability to manage ambiguity in a rapidly changing business environment.
• Ability to prioritize and manage projects with minimal supervision.
• Ability to develop business cases and cost/benefit analyses for management evaluation.
• Ability to oversee security policies and procedures to ensure compliance, including Oracle Fusion Cloud role-based security and segregation-of-duties controls.
• Ability to drive projects to completion, testing, and acceptance of project results.
• Relevant work experience with ERP boundary systems, Concur, Avalara, Coupa, Floqast, and other financial systems preferred; Oracle Cloud ecosystem experience (e.g., Oracle Integration Cloud) is a plus.
• Ability to provide on-call and after-hours support for key projects to support critical deadlines.

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We build advanced autonomous systems for defense markets,complex hardware and software products that demand world-class financial modeling, rigorous planning, and the ability to turn complexity into clarity.

Responsibilities

• Own and Build the Financial Model & Consolidated Plan
• Architect and maintain a fully integrated, scalable, three statement model grounded in operational drivers, unit economics, and industry benchmarks.
• Own consolidated planning and end-to-end line-item ownership across the P&L, balance sheet, and cash flow,including equity planning (stock-based comp, share count, dilution, and equity roll-forward).
• Lead the Annual Operating Plan (AOP), including scenario modeling, sensitivities, and driver-based forecasting.
• Translate production ramps, R&D investments, contract timing, government milestones, and GTM strategy directly into financial outcomes.
• Maintain a forward-looking view of risks, opportunities, capital needs, and strategic inflection points.

• Lead the Annual Operating Plan (AOP) & Forecasting
• Own the AOP process end to end,calendar, templates, driver frameworks, consolidation, and executive review.
• Partner with functional and business leaders to build bottoms-up budgets that reconcile to top-down targets.
• Run the recurring forecast cycle, connecting short-term forecasting with the long-range plan.
• Take full accountability for forecast accuracy, improving results with each actualized quarter.

• Own the Company Cash Model
• Build and own rolling cash flow forecasts across working capital, inventory, milestone payments, production cycles, and CapEx.
• Model government contract payment timing, production curves, and program cash profiles.
• Identify liquidity risks early and support capital allocation and financing strategies.

• Drive Board & Executive Reporting
• Own the creation of Board of Directors and eStaff QBR materials,narratives, financial packages, and KPI dashboards.
• Translate complex financial and operational results into clear, executive-ready insights.
• Deliver Board-ready outputs including plan-vs-actual analysis, variance drivers, and strategic context.

• Digitize & Scale Planning Infrastructure
• Partner with data engineering/systems teams to evolve planning from Excel into modern cloud-based planning tools.
• Design modular, scalable model architectures; use Excel only where it provides meaningful analytical leverage.
• Integrate automation and analytics to improve clarity, reduce manual work, and increase decision velocity.

• Partner Across the Company
• Work closely with senior leaders on forward-looking financial planning and strategy.
• Translate engineering, program, and operations plans into financial impacts.
• Develop a point of view on unit economics, efficiency, scale, profitability, and capital allocation.
• Present insights that accelerate execution and elevate decision quality.

Required qualifications

• 8–10 years of experience, including significant time in corporate FP&A.
• Direct FP&A experience in a publicly traded company.
• Proven ownership of scalable three statement models, AOP and LRP development, consolidated planning, and line-item ownership (including equity planning).
• Ownership of the company cash model and liquidity forecasting.
• Exceptional Excel modeling capability; fluent in multi scenario three statement modeling, beat-and-raise frameworks, and driver-based forecasting.
• Strong GAAP proficiency and command of financial statement mechanics.
• Demonstrated ability to build Board- and executive-ready materials and distill complex financial and technical information into clear insights for executives and the Board.
• Thrives in fast-paced, high-growth environments with high accuracy and strong judgment.
• Systems-oriented mindset; comfortable partnering with data and systems teams.

Preferred qualifications

• Familiarity with government contract economics, milestone based revenue, and program accounting.
• Experience with equity / stock-based comp planning and share count and dilution modeling.
• Exposure to manufacturing scale, supply chain dynamics, and hardware production cycles.
• Experience implementing or scaling cloud-based planning tools (e.g., Anaplan, Pigment, Adaptive).

Who you are

• An analytical athlete with exceptional modeling intuition and attention to detail.
• A structured, clear thinker who simplifies complexity without losing nuance.
• Fast, accurate, and calm under pressure.
• Curious, forward-looking, and driven to understand what truly moves the business.
• A strong communicator who elevates decision quality across the company.
• Mission-driven and energized by solving complex, high impact problems.

Why this role matters

You will build and own the financial model and consolidated plan that define how the business is understood,internally, at the eStaff level, and at the Board. Your work will guide the AOP, capital allocation, cash strategy, investments, and long-range ambitions. This is Corporate FP&A at its highest level: high complexity, high visibility, high impact,and a direct path to FP&A and finance leadership.

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Key Responsibilities

• Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.
• Contribute to scaling up BigHat's platform and production-grade data generation.
• Support BigHat's Platform Reagents & Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.
• Execute experiments to optimize the performance efficiency of BigHat's platform.
• Keep detailed records of all experiments using BigHat's documentation tools and clearly communicate results and challenges.
• Collaborate on creating laboratory standard operating procedures (SOPs) for sample processing.
• Collaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.
• Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.

Skills, Knowledge & Expertise

• BS in Biology or Chemistry, with 2+ years of industry experience.
• Experience in process execution, laboratory method development, optimization, and troubleshooting.
• Ability and willingness to work specific workday schedules as needed.
• Hands-on experience with automated liquid handlers (e.g., Hamilton, OpenTrons, Tecan, Agilent systems) and LIMS.
• Experience with molecular biology techniques and general lab practices.
• Efficient time management and ability to work on several projects simultaneously in a dynamic start-up environment.
• Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.
• Excellent record-keeping abilities to document experimental work and analytical data.

Benefits

The salary estimated for this position is $88,000 - $100,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience.

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At BigHat Biosciences, our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.

Key Responsibilities

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab.
• Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.
• Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc.

Skills, Knowledge & Expertise

• Masters in ML/CS/EE or Bachelors with 3+ years industry experience; hands on experience developing and applying novel ML methods and a strong quantitative background.
• Strong competency in Python, familiarity with PyTorch and experience with modern software engineering best practices.
• Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
• Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.
• Familiarity with the current state-of-the-art in ML-driven protein engineering.

Benefits

The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits.

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This is a lab-based 12-month contract role, with the possibility but no guarantee of conversion to a full-time position. You will spend most of your time at the bench executing complex stability studies.

Key Responsibilities

• Design, lead, and execute in-use dose solution studies to assess drug compatibility with administration materials.
• Develop highly sensitive protein characterization methods, such as qSEC, RP-HPLC, CEX, and particle counting, to evaluate drug quality and recovery.
• Support late-stage characterization, including formulation screening, stress testing, and peptide mapping, to rank and advance lead candidates.
• Drive developability assessments, focusing on purity, stability, tolerability, and biophysical properties across programs, with careful attention to data interpretation and organisation.
• Manage and communicate with external CROs for testing and analytics.
• Interpret and communicate scientific findings, propose next steps, and effectively broadcast results across the organisation.
• Proactively identify and explore state-of-the-art analytical tools and developability technologies.

Skills, Knowledge & Expertise

• PhD in Biochemistry or a relevant discipline with 5+ years of industry experience; exceptional non-PhD candidates with extensive bench experience will be considered.
• Experience in developing and optimising sensitive analytical chromatography-based methods is essential.
• Strong background in biophysical and analytical characterisation of antibodies and antibody fragments, including SEC, HIC, CE-SDS, DLS, DSF, ELISA, and LC-MS.
• Proven track record of translating complex data into clear results and actionable recommendations.
• Keenness to learn and onboard new technologies to enhance capabilities, improve work quality, timelines, throughput, or cost.

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At BigHat Biosciences, our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes development of complex, next-generation therapeutics 'trivially parallelizable', at a pace which only accelerates as we develop better ML tooling.

You're not interested in just git-cloning the latest NeurIPS publication and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient need, and a curiosity about the underlying biology, you'll apply your top-tier ML skillset to refine and expand this state of the art protein engineering platform. Success will mean not only hands-on methods development, but actively participating in the application of our platform to the accelerated design of new drugs for devastating diseases.

Key Responsibilities

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
• Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.
• Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. - every therapeutics program at BigHat is heavily interdisciplinary.

Skills, Knowledge & Expertise

• PhD in ML/CS/EE or relevant scientific discipline, hands-on experience developing and applying novel ML methods and a strong quantitative background.
• Strong competency in Python, familiarity with PyTorch and experience with modern software engineering best practices, including not just agentic/LLM-assisted coding but testing, CI/CD, etc.
• Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
• Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.
• Familiarity with the current state-of-the-art in ML-driven protein engineering.
• Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, experience training and deploying models on AWS, and publications at major ML conferences.

Benefits

The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

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As a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.

Responsibilities

• Design and implement security controls across AWS infrastructure and platform services
• Build and maintain hardened container images and secure base images for engineering and production workloads
• Integrate vulnerability, dependency, container, and configuration scanning into software delivery systems
• Automate security and compliance checks to reduce manual review and improve consistency
• Implement secrets management, identity, and access controls across infrastructure and engineering systems
• Build mechanisms for audit evidence, configuration validation, and compliance reporting
• Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams
• Partner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls
• Work with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows
• At the Staff level, define reusable patterns and drive adoption of security engineering practices across multiple teams

Required Qualifications

• 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.
• Experience implementing security controls in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience securing containerized workloads and building or maintaining hardened container images
• Experience integrating security tooling into CI/CD or software delivery systems
• Experience with vulnerability management, dependency scanning, container scanning, or configuration validation
• Experience implementing identity, secrets, and access controls in cloud or engineering environments
• Experience automating security or infrastructure tasks using Python, Go, Bash, or a similar language
• Ability to diagnose security and configuration issues across infrastructure, containers, and platform services
• Experience working with security and engineering teams to implement shared technical controls

Preferred Qualifications

• Experience operating systems in regulated or compliance-driven environments
• Experience with Kubernetes security, workload identity, or container runtime controls
• Experience building reusable hardened images or secure infrastructure baselines used across multiple teams
• Experience with cloud security posture management, policy-as-code, or automated compliance tooling
• Experience supporting audit evidence collection or continuous compliance workflows
• Familiarity with software supply-chain security, artifact integrity, or signing/attestation workflows

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As a Staff Cloud Engineer, you will design, build, and operate the cloud infrastructure and environments used to develop, test, integrate, and host Shield AI's software products and platforms.

Responsibilities

• Design, build, and operate AWS infrastructure and shared development and integration environments
• Build and maintain infrastructure using Terraform and other infrastructure-as-code tools
• Automate environment provisioning, configuration, lifecycle management, and other recurring infrastructure tasks
• Build and operate infrastructure supporting containerized applications and workloads
• Establish and improve observability across cloud infrastructure and supporting services
• Diagnose and resolve infrastructure and environment issues across products and platform services
• Improve the reliability and consistency of shared environments and platform services
• Partner with Cybersecurity, Infosec, and Enterprise Ops to implement infrastructure and access controls that meet security and compliance requirements
• Monitor resource utilization and identify opportunities to improve infrastructure cost and capacity

Required Qualifications

• Experience supporting shared cloud infrastructure across multiple products or engineering teams
• Experience with Kubernetes or other container orchestration platforms
• Experience with infrastructure as code tooling
• Experience designing automated or ephemeral environment lifecycle management
• Experience operating infrastructure in regulated or compliance-driven environments
• Experience implementing cloud IAM, access controls, and infrastructure security requirements
• Experience with AWS cost management, capacity planning, or resource optimization

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As the SRE Lead, you will define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably. You will work with Cloud Engineering and product teams to investigate complex failures, improve systems and tooling, and turn lessons from incidents into engineering improvements.

Responsibilities:

• Define and implement SLIs, SLOs, and other measures of service reliability
• Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services
• Lead technical response to complex incidents and drive root-cause analysis through resolution
• Identify recurring failure modes and work with engineering teams to eliminate them
• Improve system resilience through automation, testing, capacity planning, and failure recovery
• Develop tooling and automation that reduces manual operational work
• Partner with product and platform teams to incorporate reliability requirements into system design
• Establish incident response practices that improve detection, diagnosis, communication, and recovery
• Mentor product engineers and drive adoption of strong reliability and operational practices
• Mentor teammates in SRE and Cloud Engineering
• Define and manage short-and-long term SRE roadmap, distributing work across teammates

Required Qualifications:

• 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
• Experience operating production services with defined availability and reliability requirements
• Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
• Experience designing and operating infrastructure in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience supporting containerized applications and distributed systems
• Experience developing operational tooling or automation using Python, Go, or a similar language
• Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
• Experience leading incident response and root-cause analysis across engineering teams
• Experience leading and executing on technical vision of a team over multi-quarter timelines

Preferred Qualifications:

• Experience establishing or maturing an SRE function within an engineering organization
• Experience with Kubernetes and cloud-native observability systems
• Experience operating systems in regulated or compliance-driven environments
• Experience with capacity planning, performance analysis, and cloud cost management
• Background supporting shared infrastructure across multiple products or engineering organizations
• Experience with building roadmaps in ticketing systems
• Experience acting as a mentor for other engineers

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Roblox’s 21-month Associate Product Manager (APM) rotational program is designed to cultivate well-rounded product leaders through mentorship, guided learning, and hands-on execution. You’ll have the opportunity to collaborate with cross-functional partners to learn about our full platform ecosystem, applying that knowledge to build and enhance features used by millions of players and creators every day, spanning payment systems, consumer mobile apps, social features, and game development.

Responsibilities:

• Build product features that millions of users will interact with every day, sharing updates, progress, and learnings to stakeholders across the business.
• Partner with senior product managers to define product strategy and roadmaps.
• Collaborate with cross-functional partners in design, data science, product marketing and engineering to write specifications, experimentation plans and go-to-market briefs.
• Conduct user research, gather feedback, and analyze data to identify creator community needs and opportunities.
• Support market research and competitive analysis to inform product decisions.
• Upon completing the 21-month rotational cycle, APMs have the opportunity to graduate and join Roblox as a full-time Product Manager (PM) within a specific team at Roblox.

Requirements:

• Pursuing or possessing an undergraduate/graduate degree in computer science, engineering, information systems, business, mathematics or a related field.
• Passionate about user experience, building products and features that delight our community as they play, create, and connect.
• Curious about user experiences, seeking to understand what drives behaviours.
• A collaborative partner, comfortable sharing and presenting your ideas across different audiences.

Benefits:

• The starting base pay for this position is $143,000,$143,000 USD.
• All full-time employees are also eligible for equity compensation and for benefits.
• Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

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The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.

Responsibilities

• Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
• High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
• Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
• Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
• Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
• Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.
• Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
• R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.
• Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.
• Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
• Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearance or higher

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The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.

This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts.

Responsibilities:

• Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
• Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
• Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
• Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
• Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
• Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.
• Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
• Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.
• Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.

Requirements:

• BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field.
• Proficient in production-level C++ software development.
• 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls.
• Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management.
• Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment.
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity.
• Desire to work in a highly collaborative, fast-paced, enthusiastic, and mission-centric environment.
• Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications:

• Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready.
• Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations.
• Experience across a multitude of application areas, including but not limited to: Collaborative mission planning, behavior planning, synchronized teaming, Automated red force vs blue force tactics, Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions, Weapons target assignment, Sensor target pairing, sensor-centric control laws, Collision avoidance, geofencing, and safety-monitoring.
• Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.).
• Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.).
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Familiarity with practical aspects of navigation and communications systems.
• Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment.
• Familiarity with systems engineering methodologies.
• Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's).

Benefits:

• Pay within range listed + Bonus + Benefits + Equity
• Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Equal Opportunity Employer:

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer.

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The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. As a Staff Software Engineer, you will write new autonomy code, own it end-to-end, and serve as a technical leader within the team.

What You'll Do:

• Develop & Field Autonomy , Develop & integrate autonomy software solutions onto unmanned platforms, including payload computer bring-up, container-based deployment, and configuration across onboard compute, sensors, and command-and-control interfaces.
• Technical Leadership , Lead a small feature crew or sub-program, set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
• Collaboration Across Teams , Act as a primary technical interface with the Autonomy Capabilities team, the Perception team, feature crews, and external partners.
• Mentorship & Growth , Mentor mid-level engineers on the team, partner with managers on onboarding, leveling, and growth planning.
• Design & Documentation , Drive design reviews, ICDs, and post-mortems for your area.
• Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems.
• On-site Test & Mission Support , Travel to test sites and support live mission operations.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems.
• Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.
• Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
• C2 Interoperability & Standards , Own the interface contracts with C2 providers and drive standards compliance for your area.
• Hiring , Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems.
• Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
• Experience with autonomy simulation environments for testing and validation.
• Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
• Track record of mentoring engineers and growing technical talent.
• Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Direct experience supporting unmanned systems or similar field test campaigns.
• Proficiency in Python for scripting, automation, and analysis.
• Experience leading a feature crew, sub-program, or small team in an unmanned systems context.
• Experience owning customer- or partner-facing technical relationships.
• Track record of cross-team improvements.
• Familiarity with autonomy stacks, motion planning, or vehicle-control integration.
• Competence in vehicle electronics bring-up, payload computer integration, or hardware-in-the-loop debugging.
• Experience with container orchestration on embedded or payload compute.
• Familiarity with platform control / autopilot stacks.
• Proficiency in developing automation tools for system testing, logging, and data parsing.
• Build-system experience and CI/CD pipeline familiarity.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with C2 standards.
• Familiarity with government-furnished simulation environments.

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The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.

Responsibilities

• Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
• High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
• Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
• Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
• Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
• Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.
• Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
• R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.
• Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.
• Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications

• Experience applying ML/RL techniques in autonomy pipelines.
• Background in collaborative behaviors, swarm robotics, or distributed decision-making.
• Familiarity with tactical behaviors for unmanned systems in DoD or government programs.
• Work on behaviors applicable across air, ground, and maritime vehicles.
• Hands-on experience supporting flight demos or live exercises.
• Experience with UCI and OMS Standards

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The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. As a Senior Staff Software Engineer, you will write new autonomy code, own it end-to-end, and partner closely with the Autonomy Capabilities and Perception teams.

What You'll Do:

• Develop & Field Autonomy , Develop & integrate autonomy software solutions onto unmanned platforms, including payload computer bring-up, container-based deployment, and configuration across onboard compute, sensors, and command-and-control interfaces.
• Technical Strategy & Leadership , Set the technical direction across multiple programs, drive the autonomy reference implementation and common patterns, and anticipate where the stack needs to evolve.
• Collaboration & Cross-Engineering Influence , Build effective working relationships across engineering, represent the team to engineering leadership, customer/program offices, and standards bodies.
• Mentorship & Growth , Mentor senior engineers and other team leads, provide cross-functional mentorship, and help shape the leveling and career bar for the team.
• Design & Documentation , Drive cross-functional design reviews, architecture documents, and post-mortems, and publish content that informs decisions.
• Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems.
• On-site Test & Mission Support , Travel to test sites and support live mission operations.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks.
• Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners.
• Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency.
• C2 Interoperability & Standards , Set the strategy for C2 interoperability, shape interface evolution, and own implementation and compliance.
• Hiring , Define the skills bar and hiring strategy for senior roles.

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree.
• Typically requires a minimum of 10 years of related experience.
• Proficiency in C++.
• Experience with Linux-based development, embedded systems, and shell scripting.
• Familiarity with middleware, pub-sub, or IPC frameworks.
• Hands-on experience supporting demos, exercises, or field/mission tests.
• Experience with autonomy simulation environments.
• Demonstrated experience leading multiple teams or driving cross-program technical initiatives.
• Track record as the subject-matter expert sought across engineering.
• Track record of setting forward-looking technical strategy.
• Track record of mentoring senior engineers and team leads.
• Experience shaping architecture decisions, interface contracts, and standards.
• Strong problem-solving skills.
• Excellent communication and teamwork skills.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Direct experience supporting unmanned systems.
• Proficiency in Python.
• Experience leading multiple programs or driving cross-program technical initiatives.
• Experience interfacing with customers and external stakeholders.
• Track record of improvements that span the broader engineering organization.
• Familiarity with autonomy stacks, motion planning, or vehicle-control integration.
• Competence in vehicle electronics bring-up.
• Experience with container orchestration.
• Familiarity with platform control / autopilot stacks.
• Proficiency in developing automation tools.
• Build-system experience and CI/CD pipeline familiarity.
• Comfortable interfacing with DoD stakeholders.
• Experience with C2 standards.

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This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.

Responsibilities

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
• Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• Hands-on experience supporting flight demos or live exercises.
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications

• Direct experience supporting unmanned aerial systems or similar flight test campaigns.
• Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
• Competence in sensor integration, electronics debugging, or avionics bring-up.
• Proficiency in developing automation tools for system testing, logging, and data parsing.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with UCI and OMS Standards.

Benefits

• Pay within range listed + Bonus + Benefits + Equity

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The role involves individual contribution at the bench with strong cross-functional collaboration with scientists, ML/DS, and program teams. You will develop, optimize, and implement high- and low-throughput state-of-the-art strategies to characterize the interactions between antibody and antigen using biolayer interferometry (BLI) and surface plasmon resonance (SPR).

Key Responsibilities:

• Develop and implement strategies to characterize antibody-antigen interactions using BLI and SPR
• Design and perform epitope binning assays to cluster antibodies into functional families
• Source, develop, and validate competitive binding/blocking assays to triage candidate antibodies
• Collaborate with the BigHat science organization to accelerate hits from discovery through lead optimization and candidate nomination
• Synthesize and communicate results and research activity to key decision-makers and the broader BigHat team

Skills, Knowledge & Expertise:

• M.Sc/Ph.D. in molecular or cell biology, immunology, or related fields
• 5+ years of advanced, independent research experience in an industry setting
• Substantial experience with the Octet BLI and/or Biacore platforms
• Practical and theoretical fluency with using various BLI sensor types for antibody-antigen binding kinetics and epitope binning
• Deep technical knowledge regarding chip chemistries and characteristics for SPR measurements
• Experience measuring binding interactions with recombinant soluble, transmembrane, and cell-based antigens and various antibody formats
• Strong data analysis and interpretation skills
• Exceptional written, verbal, and visual communication skills
• Ability to educate and build consensus among diverse stakeholders regarding scientific direction

Benefits: The salary estimated for this position is $145,000 - $165,000 + bonus + options + benefits.

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The role involves performing automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization. The successful candidate will contribute to the scaling up of BigHat's platform and production-grade data generation, support the Platform Reagents & Assay Support (PRAS) function, and execute experiments to optimize the performance efficiency of BigHat's platform.

Key responsibilities include:

• Performing automated and manual high-throughput processing on the BigHat platform
• Contributing to the scaling up of BigHat's platform and production-grade data generation
• Supporting the PRAS function by contributing to in-house reagent manufacturing efforts
• Executing experiments to optimize the performance efficiency of BigHat's platform
• Keeping detailed records of all experiments using BigHat's documentation tools
• Collaborating on the creation of laboratory standard operating procedures (SOPs) for sample processing
• Collaborating with team members to identify, design, and implement critical process and operational improvements
• Operating automated liquid handlers and analytical instruments

The ideal candidate will have a BS in Biology or Chemistry, with 1+ year(s) of industry experience, experience in process execution, laboratory method development, optimization, and troubleshooting, and hands-on experience with automated liquid handlers.

Benefits include a salary estimated for $85,000 - $100,000 + bonus + options + benefits.

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Key Responsibilities

• Lead and contribute to the end-to-end development of high-throughput automated assay processes, spanning various technologies within drug and antibody discovery.
• Program various laboratory automation instruments and robotic systems.
• Contribute to designing and developing BigHat's integrated workcells, focusing on orders-of-magnitude capacity increase, cost reduction, and increased reliability.
• Lead troubleshooting efforts, analyze existing workflows, identify bottlenecks, and develop innovative solutions geared towards robustness and capacity.
• Collaborate with software engineering and LIMS teams on building and implementing end-to-end integrated workflows leveraging BigHat's cutting-edge software stack.
• Support equipment validation and qualification efforts, including design, execution, and documentation.
• Contribute to the growth of the automation team, know-how, and expertise at BigHat.

Skills, Knowledge & Expertise

• BS or MS degree in engineering or science in engineering, biochemistry, or a related scientific field, with 2+ years of relevant industry experience.
• Experience programming or operating automated liquid handling systems, from conception through all phases of development and implementation. Experience with Hamilton and/or OpenTrons platforms is preferred but not required.
• Experience with standard molecular biology and cell biology techniques and/or experience automating drug discovery processes is preferred.
• Functional knowledge in experimental design, bench execution, process documentation, and data analysis.
• Strong communication skills and the ability to work with people of diverse backgrounds (protein scientists, research associates, data scientists, software engineers, etc.) to scope, develop, and implement solutions.
• Ability to thrive in a fluid, dynamic start-up environment and enjoy building capabilities from the ground up.

Benefits

The salary estimated for this position is $150,000 - $168,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

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Key Responsibilities

• Support R&D projects advancing display technologies to expand antibody discovery capabilities and feed machine learning models.
• Construct and quality control phage display libraries across diverse antibody formats using standard molecular biology techniques.
• Execute standard phage display selections to engineer antibodies with desired therapeutic properties.
• Express, purify, and characterise display-derived molecules using various assays.
• Analyse selection results and contribute to discussions on next steps and future experimental design.
• Collaborate with Data Science and Machine Learning teams to inform library design and interpret selection data.
• Present experimental plans and results during regular meetings.
• Maintain thorough records using LIMS and electronic notebooks.

Skills, Knowledge & Expertise

• PhD in Biochemistry, Structural Biology, Protein Engineering, or a related field, with up to 2 years of industry research experience; or an MS in a related field with 6+ years of relevant industry research experience.
• Experience with display technologies, including library design and selection strategies.
• Knowledge of antibody biology and protein expression.
• Strength in general molecular biology techniques.
• Nice-to-haves include experience with flow cytometry, ELISA, or other binding assays, and familiarity with NGS or automation platforms.
• Demonstrated ability to follow protocols carefully, troubleshoot experiments, and maintain detailed lab records.
• Effective time management and clear written and verbal communication skills.
• Collaborative, team-oriented mindset with an eagerness to learn in a fast-paced startup environment.
• Scientific track record and publication record.
• Strong data analysis and interpretation skills.

Benefits

The salary estimated for this position is $120,000 - $145,000 + bonus + options + benefits.

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You will help define and drive strategic, operational, and organisational optimisations across the company, focusing on user growth, engagement, monetisation, and partnerships.

The ideal candidate will have experience in an analytical role, such as investment banking or management consulting, and a strong understanding of finance and public markets.

Key Responsibilities:

• Become an expert on Roblox's business model
• Develop the annual strategic and financial plan
• Track key operating metrics across the company
• Work with various departments to optimise performance and growth opportunities
• Create materials to communicate strategic priorities and findings to senior management
• Prepare monthly reports for management and the Board of Directors
• Collaborate with the CFO and VP, Finance on key operational and financial issues

Requirements:

• 2+ years of experience in investment banking, private equity, consulting, or corporate development
• Bachelor's degree in a quantitative field, such as engineering, economics, or finance
• Advanced Excel and PowerPoint skills
• Experience with SQL, MicroStrategy, Tableau, and other business intelligence tools
• Strong investigative and logical skills

Benefits:

• Competitive salary ($134,540 - $167,910 USD per year)
• Equity compensation
• Benefits package (details available on the company website)

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Key Responsibilities

• Lead cross-functional project teams on the execution of rapid, iterative multi-objective optimization to identify high-value therapeutic antibodies.
• Understand target biology to better design antibodies that meet the company's candidate profile.
• Contribute expertise in antibody engineering approaches to generate and optimize novel antibodies.
• Collaborate with BigHat leadership and cross-functional team members to ensure a tight linkage between strategy, research, and development components.
• Lead in-depth data analysis of each design cycle to better leverage experimental and computational approaches.
• Communicate results to key decision makers, the broader BigHat team, and external partners.

Skills, Knowledge & Expertise

• Ph.D. in biochemistry, structural biology, protein engineering, or related fields.
• 5+ years of advanced research experience in an industry setting.
• Hands-on protein engineering expertise, including structure-guided design, affinity maturation, and rational or computational approaches.
• Experience working with diverse antibody formats.
• Expertise in mammalian cell culture, immunoassay, molecular techniques, and protein expression and characterization.
• Exceptional written, verbal, and visual communication skills.
• Scientific track record and publication record.
• Strong data analysis and interpretation skills.

Benefits

The salary estimated for this position is $160,000 - $185,000 + bonus + options + benefits.

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This is a project-based contract engagement, performed remotely through project completion. The consultant will partner directly with the Operations and Program Management teams to build document control workflows, program-facing SharePoint sites, and Power Automate automations that replace manual, email-based document review and adjudication processes.

The work will have a particular focus on cGXP documents, IND-related workflows, and regulatory submission processes.

Key Responsibilities

• Design and build SharePoint program management landing pages that surface program documentation, risk communications, and action items for cross-functional stakeholders.
• Integrate Smartsheet outputs or data feeds into SharePoint splash pages to support real-time, redundant visibility into program risks and actions.
• Configure document control workflows using SharePoint and Power Automate, including assignment of document authors, reviewers, and adjudicators for IND-related regulatory submissions.
• Build automated review and adjudication routing for IND chapter documents, replacing manual email-based review chains.
• Configure access controls and library permission structures appropriate for a regulated drug development environment.
• Provide SharePoint site administration support , including troubleshooting and user access management , on an as-needed basis throughout the engagement.
• Lead knowledge transfer and handoff to internal stakeholders upon project completion.
• Optionally: assess and recommend opportunities to incorporate Microsoft 365 Copilot or SharePoint AI agent features.

Skills, Knowledge & Expertise

• Demonstrated experience designing and building SharePoint sites for program management use cases, ideally in a biotech, pharma, or regulated health sciences environment.
• Proficiency in Power Automate workflow configuration within SharePoint.
• Hands-on experience with document control systems and regulated document lifecycle management, including IND authoring pipelines or FDA submission workflows.
• Working knowledge of SharePoint access controls, library permissions, and compliance-aware configuration.
• Experience in clinical or drug development operational settings strongly preferred.
• Ability to work independently, manage deliverables across a remote engagement, and communicate clearly with non-technical stakeholders.
• A collaborative, solution-oriented approach and comfort operating in a fast-moving startup environment.
• Must be based in the United States.

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Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. A roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are managed and orchestrated through a custom LIMS++ layer to automatically update and deploy the latest models.

As a Principal Machine Learning Scientist, you will apply your world-class ML skillset to refine and expand this state-of-the-art protein engineering platform. You will help shape the direction for future ML research and participate in applying the platform to accelerate the design of new therapeutics.

Key Responsibilities

• Design and implement next-generation generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets.
• Provide leadership, technical guidance, and mentorship to other ML and data science team members.
• Help set the strategy for future ML research, driven by a strong understanding of BigHat programs and operations.
• Develop, refine, and deploy de novo design methods for generating initial hits to challenging targets.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches for lab-in-the-loop antibody design.
• Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering.
• Share findings at top-tier conferences and publish in leading scientific journals.
• Provide ML expertise and support for ongoing therapeutics programs.
• Collaborate with the engineering team to ensure efficient deployment of models.
• Work closely with an interdisciplinary team to identify inefficiencies and plan ML methods development.

Skills, Knowledge & Expertise

• PhD in ML/CS or hard sciences with 5+ years of experience in developing and applying novel ML methods.
• Publications in major ML conferences and/or leading journals.
• Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
• Excellent communication skills and biomedical domain knowledge.
• Experience with de novo design, NGS data, Bayesian optimization, and antibody biology is a plus.

Benefits

• Salary estimated at $254,000 - $290,000 + bonus + options + benefits.
• Range of health insurance plan options.
• Dental and vision coverage.
• Additional well-being benefits.
• 401(k) with company match.
• DTO, two weeks of company-wide shutdown, and 12 company holidays.
• Paid parental leave.

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As the Director and Lead of Clinical Operations, you will oversee the design, execution, and management of clinical trials, ensuring alignment with corporate objectives and regulatory requirements. You will lead a high-performing clinical operations function, develop strategies to accelerate development timelines, and establish best practices for trial execution.

Key Responsibilities

Leadership & Strategy

• Develop and execute clinical operational strategies to advance biologics for oncology and inflammatory diseases from early-phase trials to regulatory approval.
• Collaborate with cross-functional teams (e.g., R&D, Regulatory, CMC, Translational Biomarkers) to align clinical strategies with overall company goals.
• Provide insights into trial design, site selection, and patient recruitment strategies.
• Serve as a key point of contact for internal and external stakeholders, including investigators, regulators, and partners; prepare for and support regulatory interactions and inspections.

Clinical Trial Execution

• Lead the planning, initiation, and management of clinical trials (Phase I–III), ensuring they are conducted on time, within budget, and in compliance with global regulatory standards (ICH-GCP, FDA, EMA) and company SOPs.
• Oversee vendor selection and management, including CROs, labs, and other external partners; conduct and manage CRO site monitoring activities to ensure protocol adherence and data integrity.
• Monitor trial progress, manage risks, and resolve operational challenges efficiently.
• Oversee clinical site-side sample management, including collection, processing, storage, and shipment of biological samples in alignment with protocol requirements and chain-of-custody standards.

Translational Biomarker Support

• Partner closely with the Translational Biomarker team to ensure clinical operations infrastructure supports biomarker sample collection, handling, and logistics across all trial sites.
• Coordinate with sites and CROs to ensure biomarker sampling plans are implemented correctly and that sample quality and completeness meet program requirements.

Data Management and Quality

• Oversee clinical data management activities, including data completeness, quality review, and timely query resolution to ensure high-quality, audit-ready datasets.
• Implement and maintain data quality management processes in collaboration with data management and biostatistics partners.

Clinical Document Generation

• Coordinate cross-functional input and review cycles to deliver complete, high-quality documentation.

Budget and Resource Management

• Develop and manage clinical operations budgets, ensuring cost-effective resource allocation.
• Optimize timelines and resources to meet critical milestones and deliverables.

Skills, Knowledge & Expertise

• Advanced degree in life sciences, pharmacy, or a related field (PhD, MD, PharmD preferred).
• 10+ years of experience in clinical operations, with a strong track record in oncology and/or inflammatory diseases.
• Experience leading operational aspects of early-phase clinical trials in the biotech or pharmaceutical industry.
• Demonstrated ability to build and lead teams in a dynamic, startup environment.
• In-depth knowledge of ICH-GCP guidelines, FDA/EMA regulations, and global clinical trial processes.
• Proven experience in vendor management, CRO oversight, budget management, and trial risk management.
• Experience in clinical site-side sample management and biomarker program support.
• Familiarity with data management principles and data quality oversight in clinical trials.
• Experience managing the generation of clinical documents across the trial lifecycle.
• Exceptional communication, leadership, and problem-solving skills.
• Experience in oncology, inflammatory diseases, and/or molecularly targeted therapies.

Benefits

The salary estimated for this position is $275,000 - $295,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

What BigHat Offers:

• Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
• Dental, and vision coverage through Guardian
• Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
• 401(k) with company match
• DTO, two weeks of company-wide shutdown, and 12 company holidays
• Paid parental leave

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Key Responsibilities

• Design, optimize, and execute high-throughput developability assays to expand BigHat's toolkit.
• Drive developability assessments across programs, focusing on data interpretation and organization.
• Support late-stage characterization and IND-enabling studies, including formulation screening and simulated administration studies.
• Serve as the Developability lead within project teams, guiding experimental strategy.
• Work cross-functionally to automate methods, train colleagues, and adapt workflows to existing LIMS infrastructure.
• Analyze data, interpret scientific findings, and propose next steps.

Skills, Knowledge & Expertise

• PhD in Biochemistry or a relevant discipline with 3+ years of industry experience.
• Strong background in biophysical and analytical characterization of antibodies and antibody fragments.
• Experience with protein structures and antibody engineering.
• Track record of translating complex data into clear results and recommended actions.
• Enthusiastic about learning and onboarding new technologies.

Benefits

• Salary estimated at $145,000 - $165,000 + bonus + options + benefits.
• Range of health insurance plan options.
• Dental and vision coverage.
• Additional well-being benefits.
• 401(k) with company match.
• DTO, two weeks of company-wide shutdown, and 12 company holidays.
• Paid parental leave.

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SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale.

Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design.

Join the Agentic Integration movement at snaplogic.com.

The Role:

We're looking for a self-motivated Senior Software Engineer to join the Platform team that powers all of SnapLogic's services. You'll work across the stack to make our platform resilient, performant, and able to scale with our enterprise customers , from the services that run customer pipelines, to the data layer that backs them, to the operational tooling that keeps it healthy in production.

This is a generalist role. You'll go deep where the work demands it, but we expect every Platform engineer to build end-to-end understanding of the systems we operate. SnapLogic operates ~50 MongoDB clusters across production and test environments, with 60TB+ of data, so engineers comfortable with query profiling, index tuning, and hands-on database work will find plenty to own , but database work is one area among many, not a separate track.

You take a deep sense of ownership, accountability, and pride in what you ship. You're proficient in at least one language and willing to learn whatever the problem requires. This is a hybrid role based at our HQ in San Mateo, CA with the requirement to work in the office two days per week.

What You'll Do:

• Design, build, and operate services and infrastructure that make up SnapLogic's control plane

• Take end-to-end ownership: from design through production rollout and monitoring

• Improve platform reliability, performance, and scalability , across services, data layer, and dependencies

• Investigate and resolve production issues, then turn the fix into a durable improvement (better tests, observability, automation, or design changes)

• Contribute to our data-layer work as needed: query and index tuning, schema/access pattern reviews, shard and cluster operations, capacity planning

• Partner with other Platform engineers, SRE, and application teams to keep us on our zero-downtime SLA

• Raise the bar on engineering quality , code review, design review, mentoring peers

What We're Looking For:

• 5+ years building and operating production backend systems

• Strong programming fundamentals, ideally in Java or Python; comfort picking up new languages and stacks

• Experience operating distributed systems in production , debugging, profiling, capacity planning, incident response

• Track record of taking features from design to production and owning them after launch

• Solid grasp of databases (relational or NoSQL): query performance, indexing, schema design trade-offs

• Excellent design, code, and written communication skills

• B.S. in Computer Science, Computer Engineering, or equivalent practical experience

Preferred Experience:

• Hands-on experience operating MongoDB (or another NoSQL database) at scale , sharding, replica sets, query profiling, index tuning

• Experience with cloud infrastructure (AWS preferred), containers, and CI/CD

• Familiarity with observability tooling (metrics, tracing, structured logs) and SRE practices

Additional Information

Why Join:

There's never been a better time to join our SnapSquad! At SnapLogic, we believe in empowering people - customers and employees alike - to integrate everything and create anything. From competitive salaries and equity packages to global wellness benefits, we’re committed to your success and well-being.

A Few Reasons You’ll Love it Here:

We’re Innovators

SnapLogic pioneered the first generative integration solution, SnapGPT, and continues to lead with a full suite of AI-powered tools - making integration faster, smarter, and accessible to more people.

We’re Recognized Leaders

From being named a Visionary in multiple Gartner Magic Quadrants, leading the market in innovative AI reports from Aragon Research, or being recognized for AI in the Cloud Awards, we’re setting the pace in a rapidly evolving market.

We’re Growing Fast

Named one of Inc. 5000’s Fastest Growing Private Companies in 2024, SnapLogic is scaling globally - and we want you to grow with us.

We’re Agentic

Our platform empowers everyone across the enterprise to create automated, AI-connected workflows. That means more impact, less friction, and a bigger role for YOU in driving transformation.

Are you ready to help the world integrate everything and create anything? Let’s talk. Apply now and help shape the future of integration.

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The Freelance Brand Expert role is responsible for promoting and creating makeup magic in store. You will always represent the ethos, products, and image of Charlotte Tilbury. Working as part of an elite team, you will drive business in store through exceptional makeup artistry and customer service.

Main Duties:

• Sales: Strive to achieve event sales goals, and sales per hour target. Create brand awareness through the sharing and demonstration of your product knowledge. Demonstrate entrepreneurial spirit within the parameters of the company guidelines.

• Customer Service: Lead by example at all times to promote the Tilbury Touch and exceptional customer service.

• Team Work: Demonstrate a positive and cooperative approach towards your work and your colleagues. Assist and maintain an atmosphere of open and positive communication, professionalism and creativity at all times.

• Operations: Ensure the counter/gondola is 'customer ready' from open to close of business. Maintain excellent counter hygiene standards. Clean display units, tools and testers throughout the day. Assist with maintaining the required inventory levels to include stock counts, rotation, timely replenishment.

• Assist with visual merchandising, new launch displays, and collateral placement through communication with Sales and Artistry Executive. Assist in the execution of events. Maintain consistent communication with Brand field team regarding any counter/gondola needs or concerns.

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